Meta: Llama Guard 4 12B vs ScaleDown: Summarize: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Meta: Llama Guard 4 12B (meta-llama/llama-guard-4-12b) vs ScaleDown: Summarize (scaledown/summarize). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Meta: Llama Guard 4 12B (meta-llama/llama-guard-4-12b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta: Llama Guard 4 12B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.09/1M) or route via asynchronous Batch API for 50% off standard token rates.
ScaleDown: Summarize (scaledown/summarize) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for ScaleDown: Summarize: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.02/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Meta: Llama Guard 4 12B (API ID: meta-llama/llama-guard-4-12b) vs ScaleDown: Summarize (API ID: scaledown/summarize), ScaleDown: Summarize offers lower standard input pricing at $0.04/1M tokens ($0/1M output), while ScaleDown: Summarize leads in cached prefix economics at $0.02/1M tokens (50% discount). Meta: Llama Guard 4 12B achieves a 0ms faster P90 time-to-first-token latency (280ms vs 280ms).
Auto-discovered via live global telemetry registry.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | Meta: Llama Guard 4 12B | ScaleDown: Summarize | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | meta-llama/llama-guard-4-12b | scaledown/summarize | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.18 / $0.18 | $0.04 / $0 | ScaleDown: Summarize |
| Cache Read Price (per 1M) | $0.09/1M (50% Off) | $0.02/1M (50% Off) | ScaleDown: Summarize |
| Context Window / Max Output | 160K In / 16K Out | 977K In / 4K Out | Meta: Llama Guard 4 12B |
| P90 First-Token / Edge Latency | 280ms | 280ms | Meta: Llama Guard 4 12B (-0ms) |
Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content
Summarize is an abstractive summarization model from ScaleDown. It condenses long text and documents into a fluent, faithful rewrite rather than lifting sentences from the source,
Real-Time Stack Cost & Hidden-Fee Simulator (MAU / Token / Egress / GMV)
Calibrated with Reddit r/FinOps & r/devops telemetry: Includes Context Caching, Bandwidth Egress, and MoR Tax
🛰️Switch from Meta: Llama Guard 4 12B to ScaleDown: Summarize
Summarize is an abstractive summarization model from ScaleDown. It condenses long text and documents into a fluent, faithful rewrite rather than lifting sentences from the source, Verified P90 latency of 280ms.